Machine Learning Engineer

Responsibilities

 Study and transform data science prototypes

 Design machine learning systems

 Research and implement appropriate ML algorithms and tools

 Develop machine learning applications according to requirements

 Select appropriate datasets and data representation methods

 Run machine learning tests and experiments

 Perform statistical analysis and fine-tuning using test results

 Train and retrain systems when necessary

 Extend existing ML libraries and frameworks

 Keep abreast of developments in the field

Requirements and skills

 Proven experience as a Machine Learning Engineer or similar role

 Understanding of data structures, data modeling and software architecture

 Deep knowledge of math, probability, statistics and algorithms

 Ability to write robust code in Python

 Familiarity with LLM models & ChatGPT must have skills.

 Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

 Excellent. communication skills

 Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, and predictive & forecasting models.

 Good understanding or experience of working with Azure ML.

 Strong experience with advanced SQL and good to have experience in Pyspark. Good understanding or experience of working in Azure cloud platform.

 Extensive hands-on big data preferably Hadoop, Spark, and NoSQL

 You are well versed with Python Data Analysis Stack like Pandas, Numpy and Scikit-learn.

 Curiosity to learn and implement latest developments in the field of AI.

 Developing algorithms and complex statistical models on large volumes of data. Own the MLOps life cycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management.

 Highly self-motivated with the ability to work independently, passionate about business & attention to details,